The questions is asking what you learned or what your able to tell by reading the text
Answer:
because Texans wanted the rights of American citizens
The One-Way ANOVA test represents the best choice if one wants to compare the average number of adjustments made by service representatives at five different locations within a region.
The null hypothesis, which claims that samples from populations with the same mean values are used to create all of the groups' samples, is tested by the ANOVA.
The population variance is estimated twice to accomplish this. Numerous assumptions underlie these estimations. An F-statistic is generated by the ANOVA and represents the proportion of variation within the samples to variance estimated among the means.
According to the central limit theorem, the variance of the group means should be less than the variance of the samples if the group means are taken from populations with similar mean values. A larger ratio suggests that samples were taken from populations with different mean values, which is implied by a higher ratio.
To learn more about the One-Way ANOVA test refer to:
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Answer:
the founding documents of the United States.
Explanation:
Innovative concepts and new ideas like social contract and Tabula Rasa from the Enlightenment philosophers have changed the mind of the colonist by making them comprehend their rights. Researchers showed new ideas and those ideas went against orthodox religious doctrines, scientists named this time frame Enlightenment. The Declaration of Independence set forth by the founding fathers of the U.S states a government is permissible only if the people agree to be governed by it. The Declaration of Independence introduces the principle of the Enlightenment which included equality, natural rights, and sovereignty, and that the primary aim of a government is to protect these rights.
Answer:0.08%
Explanation: Eight in 10,000, or approximately 0.08 percent of high school senior boys playing interscholastic football will eventually be drafted by an NFL team.
